Remove B2B Remove Measurement Remove Risk Management
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. The technology can also provide strategic and personalized financial solutions.

B2B 64
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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. Risk Management. Machine learning also reinforces cybersecurity and necessitates companies from various industries to tighten their security measures. The banking and financial industries are no different. .

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 105
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CEOs’ top priorities for IT leaders today

CIO Business Intelligence

That work also ties into another CEO priority: growth as the company competes in both the B2B and B2C space. He is working with his colleagues to incorporate AI into business processes, focusing on practical applications that will yield measurable returns — rather than chasing after ideas “that may turn into nothing.”

IT 131
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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

A majority of online casinos have also started accepting various cryptocurrencies as payments and many B2B gaming providers have been heavily investing in crypto gaming to meet with the rising demand. Hence, a lot of time and effort should be invested into research and development, hedging and risk management.

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How guardrails allow enterprises to deploy safe, effective AI

CIO Business Intelligence

The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year. However, organizations that followed risk management best practices saw the highest returns from their investments.